Job Description

Hybrid: for this position is required to be on site 3x/week
 

Job Description Summary:

As a Data Analytics Senior in Digital Services and Experience, you will play a crucial role in delivering future-focused, consumer-centric, and prescriptive solutions that allow GM to stay proactive and nimble. You will join the DSX Analytics hub and contribute to the development of high-quality, scalable, and curated data products.

These data products serve several lines of business, including Loyalty, OnStar, Digital Services & Experience, Manufacturing and Growth Businesses. Additionally, you will collaborate with other Data Scientists and work cross-functionally with partner teams to create a solid data analytics foundation.

What you will do (responsabilities):

Develop custom ETL solutions using Python.

Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units.

Apply data analysis techniques to drive data-driven decision making and solve complex business problems.

Create breakthrough solutions, performing exploratory and targeted data analyses.

Analyze large amounts of diverse information to discover trends and patterns.

Undertake preprocessing of structured and unstructured data.

Present complex information using data visualization techniques.

Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing.

Your skills and abilities (required qualifications):

Bachelor’s degree in computer science, engineering, information technology, or a related field.

Collaboration and versioning with Github.

Strong problem-solving and analytical skills.

Practical experience analyzing and curating large-scale customer event data products.

Ability to identify tasks which require automation and automate them.

Programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.

What can you give a competitive edge:

Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.

Highly collaborative work style with strong listening and communications skills.

Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.

#LI-AS



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.



About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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